Key skills
AzurePythonSQL.NETC#CGoAIGenerative AILLMOpenAIRAGLangChainAgenticUnit TestingIntegration TestingVersion ControlAgileCollaboration
About this role
Role Overview
- The Automation Developer is responsible for designing, building, testing, and deploying high-quality automation solutions (AI-powered intelligent automation and Workflow Automation).
- Develop automation solutions using tools such as AI frameworks / Python / SQL.
- Convert business requirements and process flows into technical workflows, scripts, and automation logic.
- Create reusable components, libraries, and frameworks to accelerate delivery.
- Implement API-led and event-driven automation where applicable.
- Design and develop AI-augmented automation solutions using LLMs, RAG pipelines, Copilot Studio, AI Builder, and Azure AI Services.
- Build intelligent document processing workflows leveraging OCR, form recognition, and LLM-based extraction.
- Develop conversational AI agents / chatbots integrated with enterprise data sources (Dataverse, SharePoint, Excel) for employee self-service and operational support.
- Perform unit testing, integration testing, and system testing for all automations.
- Ensure robust exception handling, logging, and monitoring is embedded in solutions.
- Deploy automations to production in collaboration with Infra/Operations teams.
- Track automation performance, success rates, failure trends, and benefits.
- Evaluate AI model outputs for accuracy, relevance, and hallucination risk; implement guardrails and validation layers for AI-driven workflows.
- Prepare technical documentation, design specs, SOPs, and release notes.
- Ensure adherence to Maersk security, governance, coding standards, and audit controls.
- Maintain version control, access management, and compliance with enterprise guidelines.
- Monitor automation health using logs, alerts, and dashboards.
- Optimize existing automation solutions for improved stability and performance.
- Provide hypercare support post-go-live and handover to operations.
- Collaborate with Product Owner, Business Analyst, GDA, platform teams, and business SMEs.
Requirements
- Bachelor's/master's degree in Computer Science, Engineering, IT, or a related field.
- 3+ years of experience in automation development.
- Strong knowledge of programming languages: Python, .NET, C#, SQL.
- Hands-on experience with Generative AI / LLM-based solutions (e.g., Azure OpenAI, Copilot Studio, LangChain, or similar frameworks).
- Experience building RAG (Retrieval-Augmented Generation) pipelines for enterprise Q&A or document intelligence use cases.
- Familiarity with Azure AI Document Intelligence, or similar cognitive services for OCR, form processing, and email/document classification.
- Understanding of prompt engineering principles and techniques for reliable AI outputs.
- Exposure to agentic AI patterns building multi-step AI agents that can reason, plan, and act on enterprise data.
- Awareness of responsible AI practices bias, fairness, transparency, and data governance.
- Excellent analytical and problem-solving abilities.
- Ability to manage multiple projects and prioritize tasks effectively.
- Experience with Agile methodologies is a plus.
- Ability to work collaboratively in a fast-paced, dynamic environment.
Tech Stack
- Azure
- Python
- SQL
- .NET
Benefits
- Health insurance
- 401(k) matching
- Flexible work hours
- Paid time off
- Professional development opportunities